SeqArray statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left File compression chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

SeqArray specifications


Unique identifier OMICS_17295
Name SeqArray
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input format VCF, BCF, BGT
Output format VCF, BCF, BGT
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.20.2
Stability Stable
methods, parallel, BiocGenerics, Biobase, IRanges, GenomicRanges, Rsamtools, S4Vectors, GenomeInfoDb, Biostrings, Rcpp, BiocParallel, RUnit, knitr, VariantAnnotation, digest, R(>=3.5.0), SNPRelate, gdsfmt(>=1.10.1), crayon
Maintained Yes



Add your version



  • person_outline Xiuwen Zheng <>

Publication for SeqArray

SeqArray in publications

PMCID: 5737330
PMID: 29220419
DOI: 10.1093/gbe/evx256

[…] rhomap function in ldhat v2.2 ()., all statistical analysis was performed in r v3.3.0 and used the intervals v0.15.1 (), r package version 0.15.1 (, and seqarray v1.12.9 () seqarray: big data management of whole-genome sequence variant calls. r package version 1.12.9. ( packages., in the 48 h blood stage […]

PMCID: 4251976
PMID: 25462855
DOI: 10.1371/journal.pone.0113163

[…] group were chosen based on rna quality (some samples did not meet quality standards as described above) and pooled for deep sequencing. for the sequencing and microarray array, lc science’s seqarray services were utilized (houston, tx). sequencing data has been submitted to gene expression omnibus (accession number gse61747). the following methods were used, as outlined by the service […]

To access a full list of publications, you will need to upgrade to our premium service.

SeqArray institution(s)
Department of Biostatistics, University of Washington, Seattle, WA, USA; Bioinformatics and Computational Biology, Genentech, Inc., South San Francisco, CA, USA
SeqArray funding source(s)
Supported by NIH Grant GM099568.

SeqArray reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review SeqArray